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Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
by
Rebmann, Vera
, Zidi, Ines
, Layeb, Safa Bhar
in
Adenocarcinoma
/ Artificial Intelligence
/ cancer
/ Cancer therapies
/ Cell death
/ clinical data
/ Clinical decision making
/ Computer Science
/ Conflicts of interest
/ data science
/ Decision making
/ Editing
/ Esophagus
/ Gene expression
/ Genes
/ Genomics
/ Immunotherapy
/ Invasiveness
/ Life Sciences
/ Machine learning
/ Medical prognosis
/ Patients
/ prediction
/ Prediction models
/ Squamous cell carcinoma
/ Survival analysis
/ systemic analysis
/ Tomography
/ Ultrasonic imaging
/ Writing
2025
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Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
by
Rebmann, Vera
, Zidi, Ines
, Layeb, Safa Bhar
in
Adenocarcinoma
/ Artificial Intelligence
/ cancer
/ Cancer therapies
/ Cell death
/ clinical data
/ Clinical decision making
/ Computer Science
/ Conflicts of interest
/ data science
/ Decision making
/ Editing
/ Esophagus
/ Gene expression
/ Genes
/ Genomics
/ Immunotherapy
/ Invasiveness
/ Life Sciences
/ Machine learning
/ Medical prognosis
/ Patients
/ prediction
/ Prediction models
/ Squamous cell carcinoma
/ Survival analysis
/ systemic analysis
/ Tomography
/ Ultrasonic imaging
/ Writing
2025
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Do you wish to request the book?
Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
by
Rebmann, Vera
, Zidi, Ines
, Layeb, Safa Bhar
in
Adenocarcinoma
/ Artificial Intelligence
/ cancer
/ Cancer therapies
/ Cell death
/ clinical data
/ Clinical decision making
/ Computer Science
/ Conflicts of interest
/ data science
/ Decision making
/ Editing
/ Esophagus
/ Gene expression
/ Genes
/ Genomics
/ Immunotherapy
/ Invasiveness
/ Life Sciences
/ Machine learning
/ Medical prognosis
/ Patients
/ prediction
/ Prediction models
/ Squamous cell carcinoma
/ Survival analysis
/ systemic analysis
/ Tomography
/ Ultrasonic imaging
/ Writing
2025
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Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
Journal Article
Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
2025
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Overview
Although significant progress has been made in recent decades in understanding thedevelopment and progression of cancer, cancer remains one of the leading causes of death.Recent insights on immunobiological dysregulations involved in the development andprogression of cancer demonstrate the complexity and heterogeneity of cancer, which playcrucial role in the pharmacokinetic variability of cancer therapies. With regard to theprevalence of recurrence/metastases and prognosis, as well as the prediction of cancertreatment success, further investigations are urgently needed to establish cancer signaturesor treatment modalities that enable improved risk stratification and improved patientmanagement. This Research Topic focuses on studies that integrate new comprehensivesystemic, combinatorial, or complexed data that could be useful to develop personalizedtreatment regimens, to improve immunotherapies and clinical decision-making.
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